03 · What You Need to Know
A Blank Spot on the Map Is Not Automatically a Knowledge Gap
Geographical novelty and scientific novelty are different
A literature search can reveal that no published study has been conducted in a particular country. That is useful information about where evidence has been produced. It does not automatically reveal what knowledge is missing.
Suppose a well-established phenomenon has been demonstrated repeatedly across diverse populations and settings, with a plausible mechanism that is not expected to depend strongly on national context. Conducting the same study in another country may add a data point, but the incremental scientific information could be small.
Now consider a phenomenon whose operation depends on regulatory policy, language, social norms, healthcare infrastructure, curriculum, technology access, or economic conditions. If your country differs substantially on a relevant dimension, the absence of local evidence may represent a consequential uncertainty.
Country gap
No study, or very little research, has been published using data from a particular country.
Knowledge gap
An important question remains unresolved by the existing evidence, and answering it could change understanding, inference, practice, policy, or future research.
A country gap can coincide with a knowledge gap. The two should not be treated as synonyms.
The country must matter to the research question
The most important move is to replace “our country has not been studied” with “this feature of our context has not been adequately represented in the evidence, and it matters because...”
That final clause does most of the scientific work.
Perhaps existing studies examine an educational intervention in systems where students have reliable personal internet access, while local students commonly depend on shared devices or prepaid mobile data. Perhaps research on healthcare uptake comes largely from countries with universal insurance, whereas local out-of-pocket costs substantially affect access. Perhaps a psychological instrument was developed and repeatedly used in another language, leaving uncertainty about construct equivalence after local adaptation.
These are contextual arguments. National location helps identify where the difference occurs, but the difference itself provides the rationale.
National borders are imperfect proxies for context
Countries are administratively meaningful units, but many scientifically relevant characteristics do not align neatly with national borders. Cultural, economic, institutional, environmental, and demographic variation can be substantial within the same country. Two urban universities in different countries may resemble each other more closely on relevant dimensions than an urban and a remote rural institution within one country.
This matters because the phrase “in our country” can hide the actual target population. Are you making claims about all adults nationally, one province, public secondary schools, nurses in tertiary hospitals, university students, rural households, or users of a particular service?
Define the population and setting precisely. Otherwise, a supposedly local study may itself provide little basis for national inference.
Watch Out
A sample collected from one convenient university, hospital, city, or online participant pool does not automatically become nationally representative because the study is described as research “in” that country. The geographical location of data collection and the population to which findings can reasonably generalize are separate issues.
External validity is a better framing than geographical absence
External validity concerns the extent to which findings can support inferences beyond the circumstances in which the original evidence was generated. Research on external validity emphasizes populations, settings, interventions, outcomes, and other contextual factors rather than national labels alone.
This gives you a more useful question: do existing findings provide an acceptable basis for inference in the target population and circumstances?
If they do, another study cannot be strongly justified merely because your country has not yet contributed a dataset. If they do not, identify precisely where the inferential problem lies.
This is also why asking how different the local context actually is produces a stronger rationale than simply documenting the absence of local publications.
A country gap becomes stronger when the missing context tests generalizability
Replication can contribute to knowledge when it confronts an existing claim with informative new evidence. Nosek and Errington argue that the defining feature of replication is not merely repeating procedures but whether possible outcomes would provide diagnostic evidence about the prior claim.
This perspective changes how a country-based replication should be justified. Instead of saying, “This study has not been replicated in Country X,” ask what Country X allows you to test.
If the context differs along a theoretically relevant dimension, a consistent finding can strengthen evidence that the phenomenon generalizes across that variation. A different finding can identify a possible boundary condition requiring further investigation. In that situation, local replication can add useful evidence about generalizability.
If the new context adds no meaningful test of the claim, however, the study may simply reproduce knowledge that is already well supported.
Underrepresentation can still be an important problem
Rejecting geographical novelty as a sufficient justification does not mean geographical representation is unimportant. Evidence bases can be concentrated in particular countries, populations, languages, institutions, and socioeconomic conditions. This concentration can constrain what researchers know about the scope of supposedly general findings.
A study from an underrepresented setting may therefore make an important contribution when it deliberately examines whether existing claims hold under conditions missing from the literature. The scientific argument is stronger when the contribution is framed in terms of the missing population or contextual variation rather than national novelty for its own sake.
There may also be equity, policy, or practical reasons for collecting local evidence. A population affected by a policy or intervention may reasonably require evidence about its own circumstances, especially when decisions have substantial consequences. Such decision relevance should be stated directly rather than disguised as generic novelty.
Sometimes you need local estimates rather than a new test of the theory
A country-specific study may be necessary even when the underlying scientific relationship is already well established. Governments, healthcare systems, schools, and other organizations may need local estimates of prevalence, incidence, costs, attitudes, service utilization, baseline risk, or implementation capacity.
For example, international research may convincingly establish that a particular risk factor predicts an outcome. Policymakers may still need to know how common that risk factor is locally before allocating resources.
In that case, do not pretend that your study is filling a theoretical gap if it is actually addressing an information need. A local descriptive estimate can be valuable precisely because it serves a local decision.
Country-specific policy or institutional structures may create a genuine gap
Some research questions are inherently embedded in national institutions. Taxation, healthcare financing, curriculum policy, environmental regulation, social welfare systems, legal frameworks, and labor arrangements can differ enough to change exposures, incentives, opportunities, and outcomes.
When the phenomenon depends on those structures, institutional or policy differences may justify another study. The argument should identify the particular institutional feature and explain how it could affect the expected relationship.
Culture can matter, but nationality is not culture
Researchers sometimes use country as a shorthand for culture. That shortcut can obscure considerable heterogeneity within countries and similarities across them.
If cultural context is part of the justification, specify the cultural construct or process you expect to matter. Language practices, social norms, family structures, attitudes toward authority, response conventions, or other features may affect a research question, but they should be theorized and, where possible, measured.
The relevant issue is therefore whether specific cultural differences provide a scientific reason for new evidence, not whether participants hold a different passport.
“No local studies” should survive a serious literature search
Before claiming that a topic has never been studied in your country, search carefully. Country-specific research may be difficult to retrieve because the country name does not appear in the title, terminology differs, studies are indexed under regional terms, or relevant evidence is located in discipline-specific databases.
Search using combinations of the topic, population, country name, regional names, major cities where appropriate, alternative spellings, and relevant terminology. Examine systematic reviews and reference lists. Depending on your purpose, local repositories and government or institutional reports may also reveal evidence that journal database searches miss.
A novelty statement based on a cursory search is especially fragile. One inconveniently discovered paper can dismantle the opening paragraph rather quickly. Literature reviews do occasionally have a sense of humor.
The strongest justification explains the consequence of not knowing
Imagine that no local study is ever conducted. What important uncertainty remains?
Would policymakers risk applying an intervention under conditions where its effectiveness is uncertain? Would a measure be used without evidence that it captures the same construct? Would a theory continue to claim broad generality despite never being tested in a substantially different context? Would planners lack the prevalence data required to allocate resources?
If you can identify a consequential uncertainty of this kind, the case for research becomes much stronger. If the only consequence is that your country remains absent from a table of study locations, geographical novelty may be doing more work than scientific necessity.